PFAS Data Manager

The PFAS Data Manager will oversee the analysis and curation of per- and polyfluoroalkyl substances (PFAS) research data as part of a long-term Center of Excellence created through a partnership with the USDA Agricultural Research Service. This position will perform two primary functions. First, it will consult with researchers across the project to support their data analysis needs, including data structure, workflows, and long-term preservation.

Second, the Data Manager will establish, share, and maintain guidance for data curation created through the Center of Excellence.
Typical hiring range for this soft-money funded position is $70,000 to $80,000 commensurate with qualifications and experience.

Please review the
PFAS Data Manager
job description for more information.

The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500 employees located on the Orono campus, the regional campus in Machias, and throughout the state. UMaine is a land, sea and space grant university, and maintains a leadership role as the University of Maine System's flagship institution. UMaine is a state's public research university and a Carnegie R1 top-tier research institution, dedicated to providing excellent teaching, research and service for Maine, the nation and the world.

More information about UMaine is .

The University of Maine offers a wide range of benefits for employees including, but not limited to, tuition benefits (employee and dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options.

UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to UMaine is quality of life. Numerous cultural activities, excellent public schools, safe neighborhoods, high quality medical care, little traffic, and a reasonable cost of living make the greater Bangor area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer.

• A master’s degree in data science or closely related discipline or an equivalent combination of education and experience, and 3 or more years of experience in research data management or a similar position
• Proficiency in one or more programming and data analysis languages commonly used for scientific data manipulation
• Demonstrated experience managing, integrating, validating, and analyzing complex scientific or research datasets in a high-performance and/or cloud computing setting
• Excellent analytical, troubleshooting and problem-solving skills, in particular with respect to data quality and integration issues
• Strong written and verbal communication skills, with demonstrated ability to communicate technical concepts to researchers and other audiences with varying levels of technical expertise

• Ph.D. in data science or a field topically related to PFAS
• Experience supporting data management within a higher education, research center, laboratory, or other collaborative research environment
• Demonstrated ability to work collaboratively across multidisciplinary teams and with diverse stakeholders of researchers, students, technical staff and administrators and to manage competing priorities and data needs
• Familiarity with data types associated with PFAS research, including environmental sampling, analytical chemistry, toxicology, remediation and EPA PFAS analytical methods and associated data reporting requirements
• Familiarity with FAIR data principles (Findable, Accessible, Interoperable, and Reusable), research data repositories, and data sharing requirements associated with federally funded research

The successful applicant is subject to appropriate background screening.

The University of Maine System (the System) is an equal opportunity institution committed to fostering a nondiscriminatory environment and complying with all applicable nondiscrimination laws. Consistent with State and Federal law, the System does not discriminate on the basis of race, color, religion, sex, sexual orientation, transgender status, gender, gender identity or expression, ethnicity, national origin, citizenship status, familial status, ancestry, age, disability (physical or mental), genetic information, pregnancy, or veteran or military status in any aspect of its education, programs and activities, and…